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Senior Machine Learning Engineer

Relay Technologies· Technology
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London - HybridFull-timePosted 2mo ago

About the role

Senior Machine Learning Engineer responsible for productionising models end-to-end, maturing the ML platform, and ensuring measurable business impact within Relay's live logistics network.

Responsibilities

  • Own critical part of ML: productionising of our models end-to-end, from training pipeline through live integration to measured business impact.
  • Build and mature our ML Platform. Evolve the model serving architecture, expand reusable components adoption and set the standards for how Relay ships ML org-wide.
  • Strengthen existing models by architecting integration and system testing within training pipelines, automated releases and drift monitoring.
  • Launch completely revamped processes side by side with data scientists and measure their real-world impact on the network.

Qualifications

  • Have at least two years deploying and operating models in production and four years building software on high-performing teams.

Skills

Required:Productionising ML modelsML platform developmentModel integration and testing
Nice to have:Cross-functional collaboration
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Relay Technologies

Built for speed, engineered for excellence, designed for growth - turn the final mile into the final 100m.

Relay is a tech-enabled delivery network, empowering businesses to grow and elevate their e-commerce operations.

E-commercedeliverylogisticstechnology
Company profileWebsite

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